RoadBotics’ AI Could Change the Way Cities Maintain Roads

  • January 21, 2019
     Roadbotics gives each road segment an aggregate score from Level 1 to Level 5 based on the quantity, extent, and severity of the distresses spotted.
    Image: RoadBotics
    Roadbotics’ software gives each road segment an aggregate score from Level 1 to Level 5 based on the quantity, extent, and severity of problems it spots.

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    ‘Tis the season for potholes. When temperatures drop, the expansion and contraction of water that seeps into cracks in asphalt can create giant tire-chompers. But these problem spots are too often the final result of damage that has been brewing for a while.

    “There are things you can do five or even ten years before that happens to push the lifespan of a road,” says Benjamin Schmidt, CTO of RoadBotics in Pittsburgh, Pennsylvania.

    RoadBotics is using state-of-the-art computer vision techniques to help local governments better manage roads. The company’s machine-learning algorithms process images of the road collected via smartphone. Then, it uses these images to produce an in-depth online map of road conditions that officials can use to make maintenance and repair decisions.

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